Qualifications and Desired Skills
BE/ BCA/ M.C.A/M.S. in Computer Science Engineering, or equivalent with a solid HPC mindset and adept in documentation of work
Robust understanding and experience in parallel algorithm design, integration and testing skills with good level of comfort working on both Windows and Linux operating systems
Knowledge of working principles and expertise with design of parallel algorithms in heterogeneous compute architectures involving CPU and GPU is a must
Ability to create compute system requirements and link up traceability to system level design requirements
Experience working with WebGL, openCL, openMP, openACC, intel intrinsics, AVX/SSE, CUDA, JIT compilers, load-balancing, asynchronous processess, multi-threading, SIMD/MIMD pipelining and other core parallel compute paradigms
Positive working knowledge of both python and JavaScript including libraries like GPU.js, Emscripten and other compute accelerator frameworks for client side accelerated computing
Ability to handle hands-on work on hardware, with an experimental mindset.
Ability to effectively develop verification and validation strategies and document creation as part of design rigor
Ability to oversee the systems development from prototype to validated design for production readiness involving the compute architecture
Good grasp of root-causing compute issues manifested at a systems level to their underlying causes at sub-systems and their interactions
Strong problem-solving and analytical skills
Excellent communication and teamwork abilities
Previous experience in R&D; or product development with strong hands on experience on technical design journey from conceptualization to market launch is a must
Must demonstrate willingness to constantly learn and adapt to growing needs of the domain with a growth mindset
The role requires strong teamwork and the ability to mentor and work collaboratively in a team effectively to deliver to the assigned deliverable goals as a single cohesive unit